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Collision cross section (CCS) as a complementary parameter to characterize human and veterinary drugs
Carmen Tejada-Casado1, Maykel Hernández-Mesa2, Fabrice Monteau2
1Laboratoire d'Etude des Résidus et Contaminants dans les Aliments (LABERCA), Oniris, INRA UMR 1329, UBL, Nantes, F-44307, France; Department of Analytical Chemistry, Faculty of Sciences, University of Granada, Av. Fuentenueva s/n, Granada, E-18071, Spain.
This study introduces a comprehensive collision cross-section (CCS) database for 92 human and veterinary drugs, enhancing drug identification. The database, including fragment ions, validates CCS as a reliable parameter in complex biological samples.
Area of Science:
- Analytical Chemistry
- Pharmacology
Background:
- Ion mobility spectrometry (IMS) coupled with mass spectrometry (MS) offers valuable collision cross-section (CCS) data for drug identification beyond mass-to-charge ratio (m/z).
- Limited availability of CCS data for drugs has hindered its widespread application as an identification parameter.
Purpose of the Study:
- To develop a robust CCS database for 92 human and veterinary drugs to facilitate their identification.
- To assess the inter-laboratory reproducibility of CCS measurements for selected compounds.
- To characterize the CCS of fragment ions for a more comprehensive analytical approach.
Main Methods:
- Traveling wave ion mobility spectrometry (TWIMS) was employed under positive ionization conditions with nitrogen as the drift gas.
- A database of 173 ions, including protonated ([M+H]+) and sodium adduct ([M+Na]+) species, was generated for 92 drugs.
- Fragmentation patterns and the CCS of resulting fragment ions were analyzed for 238 ions.
Main Results:
- A new CCS database for 92 drugs, with 37 compounds characterized for the first time, was established.
- High correlations between m/z and CCS were observed for both [M+H]+ (R² = 0.9518) and [M+Na]+ (R² = 0.9135) ions.
- The study demonstrated the matrix effect independence of CCS measurements in bovine urine samples, validating its use in biological matrices.
Conclusions:
- The proposed CCS database significantly expands the available data for human and veterinary drug identification.
- CCS is confirmed as a reproducible and reliable parameter for drug identification, even in complex biological matrices.
- The characterization of fragment ion CCS further enhances the specificity and confidence in drug identification using IMS-MS.
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